The Artist | Flux Editition

- Prompt
- the_artist, the ai artist creating images inside the latent space, fourier waves, grids, reflective ground,

- Prompt
- the_artist, concept design style as the artistic representation of a transformer (AI), the opening is the part where the user hits enter and the tokenizers start to create embedding vectors which are each straw. the small nodes are the attention mechanisms, the colours the attention heads. and they keep progressing as in a time continuum tunnel (the inference), until logits explode and the model feels confident enough for the EOS token, white background,

- Prompt
- the_artist, the ai artist creating images inside the latent space, fourier waves, grids, reflective ground,

- Prompt
- the_artist, concept design style as the artistic representation of a transformer (AI), the opening is the part where the user hits enter and the tokenizers start to create embedding vectors which are each straw. the small nodes are the attention mechanisms, the colours the attention heads. and they keep progressing as in a time continuum tunnel (the inference), until logits explode and the model feels confident enough for the EOS token, white background,,

- Prompt
- the_artist, inside the latent space where the AI generate images, grids, geometry, waves

- Prompt
- the_artist, inside the latent space where the AI generate images, grids, geometry, waves

- Prompt
- the_artist, inside the latent space where the AI generate images, grids, geometry, waves

- Prompt
- the_artist, inside the latent space where the AI generate images, grids, geometry, waves
Model description
Experimental version for Flux.
With enough creativity and prompting, "the Artist" can help you generate images for diverse types and processes inside the Neural Network in an artistic/abstract way.
Ever wanted to create artistic representation of Neural Networks such as Transformers to explain how they work in a fashion viewers can understand it? Now you can:
The Colours of Attention
the_artist, concept design style as the artistic representation of a
transformer (AI), the opening is the part where the user hits enter and
the tokenizers start to create embedding vectors which are each straw.
the small nodes are the attention mechanisms, the colours the attention
heads. and they keep progressing as in a time continuum tunnel
(the inference), until logits explode and the model feels confident
enough for the EOS token, white background,
DPM++ 2S A Karras, Guiding Scale 3.5 CFG 6, Steps 5, Seed 2282625028, Clip Skip 1
<Lora:theartist.flux_.safetensors:1.0>
Model: FusionV2 (Flux Schnell)
This image Lora model should mainly be used for research and educational needs.
Although it is licensed under CC 4.0, which means that all generated images can be used for diverse ends, such as illustrations for articles, books, banners, posters.
Derivative works are accepted, allowing an educator to edit the images to add captions or fix/change specific traits.
The training model was presented with a dataset showcasing artistic interpretations of latent spaces, U-Nets, convolutions, diffusers and even transformers.
Any feedback and ideas on how we could enhance and approach related process are very welcome.
Soundtrack
Song "LuvDiffuser" by Hawkwind
He also took the lyrics and used them as image prompt with the_artist at 0.8, flux.1/schnell with dpm++ 2s A karras in 5 steps, guidance 3.5 and cfg 6:


Caption for the first image:
Disclaimer:
This model is provided “as is” without any warranty. The creators are not responsible for any misuse or unintended consequences of using this model.
For extra information, please proceed to Illustrious version: https://huggingface.co/robb-0/TheArtist-Style-IllustriousXL
Trigger words
You should use the_artist
to trigger the image generation.
This is a collaborative work of a small group of community members.
All songs by Hawkwind https://huggingface.co/Hawkwind
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training settings
General
Batch
1
Gradient Acc. Steps
2
Resolution
1024x1024
Clip Skip
1
Epoch
5 of 5
Steps
465 of 465
Network
Module
networks.lora_flux
Algorithm
-
Dim / Alpha
32 / 16
Conv Dim / Alpha
8 / 1
Network Dropout
None
IP Noise Gamma
None
Optimizer
Type
AdamW8bit
Scheduler
cosine
Learning Rates
LR: 0.000002
TE:
[
0.00001
]
UNET: 0.0005
Optional Args
-
SNR
None
Warmup Steps
0
Noise Offset
Noise Offset
0.03
Pyramid Noise Iterations
10
Discount
0.1
Training Info
Train Date
Jun 21, 2025
Train Time
0h 52m 26s
Total Images
37
Dataset
{
"image_dir": {
"n_repeats": 5,
"img_count": 37
}
}
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Model tree for semiosphere/the_artist_flux
Base model
black-forest-labs/FLUX.1-dev